Sr Application Engineer - SDK

You will develop highly optimized software for proof-of-concept implementations of automotive ADAS computer vision applications on the Renesas R-Car V-series devices, exploiting DSP, GPGPU, SIMD, CNN, and multi-threading architecture features. You will discuss requirements for the next-generation ADAS products that comprise tools, software, and hardware. You will leverage an Eclipse-based toolchain featuring a high-level compiler, hardware acceleration simulators, and detailed analysis and profiling tools to support you through performance and data flow optimization tests. You will utilize existing code libraries for computer vision applications. You will further grow the scope of those libraries for use in generic ADAS application contexts. Your main responsibilities will be in the following areas:

• Develop and define advanced ADAS reference application (Surround View, Vision computing, Image quality enhancement w/ ISP, and HW accelerator) use cases leveraging R-Car SoC and software infrastructure.
• Collaborate with sales, automotive product line marketing and applications engineers to generate winning reference software & application demos needed to establish clear dominance through best-in-class overall whole product.
• Enhance capabilities by extending the support of reference applications, HW accelerator use cases, and other connectivity applications
• Conduct benchmarks of industry standard AI models and suites, emphasizing the competitiveness of our current and future platforms.
• Provide support to our customers as an application engineer to accelerate development of customer solutions and to create easy to use collateral such as application notes and reference solutions.
• Work closely with hardware and software product development organizations to validate the performance of SoC products and optimize various aspects including computation, operational, and power.
• Bring up video input pipeline on R-Car Vx hardware platforms and with model/simulator
• Pre-developing video software features in collaboration with multiple teams, debug and fix related bugs
• Bring up hardware accelerators, AI and ISP on R-Car V-series hardware platforms and with model/simulator – optimize and improve performance of the software product
• Prototyping video input processing features for future products and design
• Pre-developing computer vision software features in collaboration with multiple teams, debug and fix related bugs.
• Define and execute performance evaluations with focus on standard and advanced KPIs
• Discuss requirements for future ADAS products i.e., tools, software and hardware with the respective system architecture and development teams
• Document proof of concept code and benchmark results and provide meaningful application notes to both internal and external customers
• Support renesas automotive customers with renaissance R car communication software, communication focused and generic hardware accelerators, and debug reported issues
• Prepare training material and conduct workshops to train field teams and customers on Renesas innovative AI and ADAS solutions support the development of cutting edge demos and reference designs
• Enhance HWA capabilities by leading strategy sessions with our technology partners.
• Providing support to field teams as needed to generate opportunities and facilitate design-ins.
• Stay abreast of latest technology trends in the field of AI, General Purpose Computing, middleware; develop recommendations and competitive feature set to keep the hardware and software product at the cutting edge and best-in-class through continuous improvement.
• Support Sr. Director of automotive product line and interact with other group managers to ensure successful deployment of strategic initiatives.

Requirements

Overall:

• 10+ years industry experience in embedded software development with a proven track record in translating complex use cases requirements into design, system specifications, standards, and software solutions.
• Ability to work independently with strong motivation towards meeting deadlines with efficiency and focus

System Knowledge:

• Strong hands-on knowledge of neural network frameworks like TensorFlow or Pytorch, as well as machine learning algorithms and related middleware
• Strong hands-on knowledge of automotive operating systems. Strong knowledge of Linux required with knowledge of at least one other automotive operation systems expected (QNX, Android, AUTOSAR, etc…)

Architecture

• System architecture experience for heterogeneous / multi-core embedded SoC computing platforms consisting of general compute, GPU, specialized AI hardware, and image processing accelerators.
• Familiarity with automotive safety concepts including ISO26262 and Freedom From Interference (FFI)

Development

• Embedded system software development experience including low level firmware, kernel, and user space components on an SoC product comparable to the Renesas R-Car family
• Ability to develop and debug on both real hardware as well as simulation and emulation environments

Debug:

• Software debugging including CLI, PCB, and application level debug techniques
• Ability to debug high speed communication interfaces including HW/SW co-debug

Collaboration:

• Ability to collaborate with sales, marketing, architecture, customer, and other groups to create best in class reference solutions, solve problems, and enable customer success
• Ability to expand upon existing solutions in collaboration with architects and prior design teams
• Ability to work independently as well as in small teams

Communication:

• Excellent written and verbal communication due to frequent customer and internal communications; ability to provide direct, efficient, and clear customer communications under pressure
• Familiarity with global business cultures (Japan, Europe, US, India) and strong cross cultural sensitivity
• Familiarity with verbal and written Japanese (nice to have)

Travel:

• Flexibility to manage occasional international travel on short notice to support customer success or internal initiatives